User Manual - pancroma

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4. PANCROMA TM Features________________________________________________________________• Input and output image files in JPEG, BMP, PNG, GeoTiff and LandsatL1G (raw binary) format.• Display individual grayscale band files at full resolution• Create 30m resolution true-color RGB images from Landsat multispectralband files 3, 2 and 1.• Create 20m false color images from SPOT and ASTER multispectralbands.• Create SPOT® and ASTER true color images from bands 3, 2 and 1 usinga synthetic band recombination utility.• Create 30m resolution false-color images from any combination ofLandsat band files• Create 15m resolution pan sharpened images from Landsat ETM+multispectral band files and panchromatic band data using HSI, XIONG,AJISANE or Brovey Transform methods.• Subset one, three, four or six file data sets.• Automatically subset to the maximum overlap area (Maximum CommonExtents) between two Landsat data sets.• Create 10m resolution SPOT pan sharpened images.• Create 10m resolution EO-1 pan sharpened images.• Pan sharpen Landsat images using 10m SPOT or EO-1 panchromaticbands.• Interpolate using Nearest-Neighbor, Laplacian or Iterative methods.(Iterative is also available as a stand-alone utility.)• Create up to 0.5m pan sharpened images from Digital Globe WorldView orQuickBird bundles. PANCROMA TM can read both the 8-bit and 11-bitDigital Globe files or bundles.• Correct WorldView2 band files to top-of-atmosphere spectral radiance.• Preprocess images using an extensive set of custom image processingtools and utilities.• Post process images using an extensive set of image processing tools.• Automatically subset satellite image file sets to a matched, co-registeredset of band and panchromatic files for subsequent pan sharpening.• Resize groups of three, four or five band files to a matched, co-registeredset of band and panchromatic files• Resample large Landsat files to lower resolution• Batch process RGB files• Batch process pan sharpened files• Gap fill ETM+ SLC-Off images using Transfer, Hayes and TERASmethods in two-file or six file batch mode• Automatically co-register two sets of three Landsat band files.• Batch process by Hayes method two sets of three Landsat band files• General image registration using linear transform9
• Automatically histogram adjust for better pan chromatic color tones• Correct image artifacts produced by histogram matching• Correct for blue spectral distortion in pan sharpened images using theEHNG and XIONG algorithms, either manually or automatically• Pan sharpen using the AJISANE algorithm• Pan sharpen using SPECTRAL algorithm• Pan sharpen using ELIN Local Optimization algorithm• Decompose SPOT and ASTER RGB composites into their correspondingband files.• Decompose RapidEye data• Spectrally transform Landsat GEOCOVER 732 images to natural RGB• Create color and grayscale anaglyphs from stereo views• Create Landsat cloud masks• Dark Image haze reduction utility• HOT haze reduction utility• Register arbitrary images• Create image tiles• Compute Landsat SPOT and ASTER Top of Atmosphere Reflectancesand Radiances• Compute Surface Temperatures from Landsat TIR band• Spectral Analyzer TM for Landsat, SPOT, ASTER and EO-1 ALI/Hyperionand WorldView2 data (8-bit or 16-bit format)• Point Spectrum Generator TM for Landsat, SPOT, ASTER and EO-1ALI/Hyperion and WorldView 2 data (8-bit or 16-bit format)• Multispectral Unsupervised Classification• Euclidean Distance Analysis• Distance Fraction TM analysis for precise land use coverage estimates• Spectral Angle analysis• Landsat Spectral Unmixing• Landsat Change Detection• Object Oriented Classification• Compute vegetation indices• Compute Tasseled Cap Transformation• Display X-Y Scatter Plots• Compute Multiple Linear Band Regressions• Correct WorldWind IEEE FP32 DEM TIFF data• Georeferencing• Display an online Help file• Automatically import spectral data from USGS ASCII files• Compute FFT of an image and display image spectrum• Compute FFT Image Deconvolutions• Export Reflectance and Radiance Data in Landsat USGS I16 FormatMore details on these and other capabilities are given in the subsequent sectionsof this manual.10
Page 2 and 3: 1. What Is PANCROMA TM ? ..........
Page 4 and 5: Compute Single Histogram...........
Page 6 and 7: 67. Tutorial - Pan Sharpening Full
Page 8 and 9: 2. What Useful Things Can PANCROMA
Page 12 and 13: 5. System Requirements_____________
Page 14 and 15: 7. Getting Started_________________
Page 16 and 17: Each color and NIR band channel con
Page 18: determine if one number is differen
Page 21 and 22: will be shown at the bottom of the
Page 23 and 24: 12. File I/O_______________________
Page 25 and 26: 13. System Variables_______________
Page 27: 14. Display________________________
Page 30 and 31: 15. The PANCROMA User Interface____
Page 32: not find this file , you will be pr
Page 35 and 36: If you check the ‘Generate Graysc
Page 38 and 39: 19. Image Subsetting_______________
Page 40 and 41: IMPORTANT NOTE: There is a check bo
Page 42 and 43: IMPORTANT NOTE: Saving and opening
Page 44 and 45: When the Input Box becomes visible,
Page 46 and 47: 20. Batch Subsetting_______________
Page 48 and 49: 21. Quick Start - Pan Sharpening an
Page 50 and 51: During the internal processing of t
Page 52 and 53: is unlikely that the settings will
Page 54 and 55: The default method is checked. The
Page 56 and 57: around 4000 rows by 4000 columns. I
Page 58 and 59: the ‘Pan Sharpening Pre Processin
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lowerLimit upperLimitThe following
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Another type of unwanted artifact i
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matching algorithm to be applied. T
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25. ENHG Algorithm - Manual Method_
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The next image is the result of pan
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26. ENHG Algorithm - Automatic Meth
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Next, compute the XIONG file. Open
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The XIONG algorithm is one of the m
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29. AJISANE Algorithm______________
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An example of a pan sharpened image
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The spectral match is indicated by
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You must be careful when selecting
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31. ELIN Local Optimization Algorit
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IMPORTANT NOTE: Regions of high con
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Add the green band and the red band
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33. Pan Sharpen Batch File Processi
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34. Working with SPOT® Data_______
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the special image processing utilit
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35. Working with ASTER Data________
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36. Working with Formosat-2 Data___
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100
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ALI data is similar to Landsat with
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38. Working with Digital Globe® Da
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spectral transmission of the telesc
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ow. Make sure you check this before
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40. Working with Landsat Surface Re
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41. Working with Landsat GEOCOVER D
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foreground and background applicati
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GEOCOVER can offer a very attractiv
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After navigation and selecting your
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Although not designed as a data sou
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44. Working with USGS DOQQ and NAPP
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46. Working with MODIS Surface Refl
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47. Working with RapidEye Data_____
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The Transfer method processes the f
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using the PANCROMA TM ‘Preprocess
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and band 5 (MIR) also be input. Thi
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134
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50. Automatic Image Registration of
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The next two images are the registe
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At the present time, PANCROMA TM ca
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Since only a portion of EMR reachin
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144
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‘File’ | ‘Open’. After your
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Haze reduction may be useful in con
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Save your image using GeoTiff file
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The correction is made according to
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54. Image Processing Utilities - Gr
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Input Channel Adjust Group Utility
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55. Image Processing Utilities - SP
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56. Image Processing Utilities - AS
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57. Image Processing Utilities - Pa
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Channel Level AdjustPANCROMA TM pro
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ENHG Scale FactorThe ENHG slider ba
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59. Image Preprocessing____________
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select ‘File’ | ‘Open’ and
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Analyzer. Doubling is done by first
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high pixel brightness in one image
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There are a few rules of thumb rega
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You will need three control points
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• image resampling• geometric m
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ROWS groupsFirst row of dataSecond
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Where QCAL are the calibrated image
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When you select ‘OK’ the surfac
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The rendering below shows a color t
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Q cal = Quantized and calibrated st
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A section of a SPOT metadata file s
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Temperature (measured in degrees Ke
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Calibration requires multiplication
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NIR band, band 2 (green) and band 3
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and 1 (Brightness, a measure of soi
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X-Y Band Scatter PlotsA scatter plo
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presented. Check the ‘Compute Lin
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PANCROMA TM has a utility for regre
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60. Image Post Processing__________
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You can adjust weighting factors fo
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Unsupervised ClassificationUnsuperv
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214
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Grayscale and Color Image TilingIt
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GeoreferencingPANCROMA TM has a uti
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61. Spectral Analysis______________
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When you click ‘OK’, the select
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The plot shows all of the computed
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PANCROMA TM computed that the cover
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Landsat Reflectance Point Spectrum
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SPOT ® Point Spectrum Generator TM
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will become disabled and the Color
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When the ‘Zoom Disabled’ radio
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Digital spectra are recorded for mi
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The next step is to overlay the Lan
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http://www.science.aster.ersdac.or.
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Although the run was not successful
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The pan sharpened image was created
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Now select ‘Spectral Analysis’
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RapidEye ® Spectral Analyzer TMSpe
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Click ‘OK’. The TOA Reflectance
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The second plot is shown below, dis
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have to rationalize the file sizes.
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Euclidean Distance Fraction TM Anal
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The idea is to adjust the included
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In addition to Landsat 7, Spectral
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Low numbers mean high discriminatio
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Copyright USGSAlthough this data is
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Note that the band 6 (TIR) track ba
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higher (whiter) the grayscale pixel
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The table with the manually input r
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this does not correspond to physica
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L71005068_06820030919_B10.TIFL71005
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L71005068_06820040804_B50.TIFL71005
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278
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The parameters are as follows:Compu
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Object Oriented ClassificationPANCR
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to the other. For example a filter
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carefully. PANCROMA TM is able to p
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Landsat imageImage magnitude spectr
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Considerable smoothing has occurred
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IMPORTANT NOTE: In reality, the con
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The following is an example of an i
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In order to deconvolve using fixed
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63. Writing an Index File for an SR
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It will be saved as a .dat file. A
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64. Processing Huge Files and File
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My area of interest for this image
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306
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Now we will start the pan sharpenin
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66. Tutorial - Pan Sharpened Image
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The next step will be to create an
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The panchromatic image is the one i
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And my result looked like this:As y
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67. Tutorial - Pan Sharpening Full
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68. Tutorial - Gap Filling using Tr
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You can use the 'Max Cloud' drop do
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'Enter' and the Adjust file will be
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326
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PANCROMA TM does the rest after tha
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70. Tutorial - Gap Filling using Ha
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Another reason to keep the Search E
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Gap Filled Grayscale ImageGap Fille
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When you do so a batch processing d
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The images below show subsets taken
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340
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It is also apparent that the graysc
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73. Tutorial - Six File TERAS Batch
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common areas of both scenes. See th
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348
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Use the checked image processing ut
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IssuesAlthough the gap filling proc
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76. Tutorial - Pan Sharpening Lands
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77. Tutorial - Image Processing Wor
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From Next PageSection 13Subset One
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I again selected ‘Close Graphic I
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I then selected ‘Pan Sharpening
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the vegetation tones are still norm
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Reduction’ and then ‘Apply Cont
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acquired during different seasons o
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This image is better than the Trans
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I also prepared an image using the
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Full sized Landsat scenes can be pr
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78. Tutorial - Improving Image Qual
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The following image is the RGB colo
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Press ‘OK’. The transformed gra
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However it is close enough to illus
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The second image is a straightforwa
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It is also possible to combine the
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80. Pan Sharpened Image: Landsat Mo
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82. Pan Sharpened Image: Landsat De
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88. Pan Sharpened Image: EO-1 Mount
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Multiple Linear Regression, 205Mult
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